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May 04, 2026
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BAES 204 - Data Algorithms for Bioinformatics in Agriculture and Environmental Sciences3 Credit Hours
This course introduces students to fundamental algorithms used in bioinformatics, with a focus on their implementation in Python and applications in agriculture and environmental sciences. Students will learn about key computational approaches used to analyze biological data, including sequence alignment, phylogenetic tree construction, and genome assembly. The course emphasizes both the theoretical foundations of these algorithms and their practical application through hands-on coding exercises and projects. Students will gain experience in implementing, optimizing, and applying these algorithms to real biological datasets in agriculture and environmental sciences.
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